In particular, many methodologies opt to constrain the challenges of sar by performing
inference on downstream analysis techniques. This has the advantage of simplifying the task, but
limits the ability of the super-resolved data to be used in different analysis techniques.
Both [1]} and [2]} used single-shell data and cnn
architectures to infer fod data with similar quality to a multi-shell acquisition
[3]}. Similarly, [4]}, [5]}, and
[6]} developed deep architectures to infer metrics from models such as noddi
[7]} and others, that would otherwise be unavailable with single-shell data.
